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Accurate prediction of employment rate of graduated students can greatly help education authorities to make informed decisions as well as for universities to adjust their teaching plans. Unfortunately, prediction of the employment rate of graduated students is still a difficult problem because the historical employment rate data exhibits fluctuations. In this paper, a new method is proposed for employment rate prediction using fractional gray GM(1,1|$$ \mid $$sin) model, which aims to alleviate the effect of data fluctuation on prediction accuracy and increase the contribution of new data in the prediction procedure. To further decrease prediction error, a Fourier series is adopted to model the residual series. The proposed model, called Fourier Fractional GM(1,1|$$ \mid $$sin) Model (FFGMsin), is used to predict the employment rate of graduated students of Yanshan University from 2010 to 2019. Results show that the proposed method can obtain more accurate prediction results than GM(1,1) model and its variants. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC. [ABSTRACT FROM AUTHOR]

Heave motion of ships is a complex nonlinear dynamic process and cannot be accurately forecasted using a single prediction model. In this paper, an effective combined forecasting method is proposed to perform ship's heave motion prediction. The proposed method combines back propagation neural network (BPNN), autoregressive model (AR) and extreme learning machine (ELM) through an induced ordered weighted averaging (IOWA) operator. The prediction accuracy is selected as the induced variable and the prediction results are sorted according to prediction accuracy and IOWA operator assigns larger weights to the position with the smallest prediction error. The optimal weights are determined by maximizing the B‐mode relational degree. Experimental results demonstrate its effectiveness of the proposed method. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. [ABSTRACT FROM AUTHOR]

High quality and nutritional benefits are ultimately the desirable features that influence the commercial value and market share of broad bean (Vicia faba L.). Different cultivars vary greatly in taste, flavor, and nutrition. However, the molecular basis of these traits remains largely unknown. Here, the grain metabolites of the superior Chinese landrace Cixidabaican (CX) were detected by a widely targeted metabolomics approach and compared with the main cultivar Lingxiyicun (LX) from Japan. The analyses of global metabolic variations revealed a total of 149 differentially abundant metabolites (DAMs) were identified between these two genotypes. Among them, 84 and 65 were up- and down-regulated in CX compared with LX. Most of the DAMs were closely related to healthy eating substances known for their antioxidant and anti-cancer properties, and some others were involved in the taste formation. The KEGG-based classification further revealed that these DAMs were significantly enriched in 21 metabolic pathways, particularly in flavone and flavonol biosynthesis. The differences in key secondary metabolites, including flavonoids, terpenoids, amino acid derivates, and alkaloids, may lead to more nutritional value in a healthy diet and better adaptability for the seed germination of CX. The present results provide important insights into the taste/quality-forming mechanisms and contributes to the conservation and utilization of germplasm resources for breeding broad bean with superior eating quality. [ABSTRACT FROM AUTHOR]

Asphalt pavement performance prediction is an important issue for pavement management system. However, it is a difficult problem because asphalt pavement performance are affected by many factors. In this paper, a new method based on fractional gray model is proposed to predict the asphalt pavement performance with a limited data. The proposed method adopts fractional accumulating generating operation (FAGO) to replace traditional accumulating generating operation (AGO), which can be regarded as a weighted AGO emphasizing different contribution of data point for future prediction. An efficient differential evolution algorithm is adopted to select the best order of FAGO. Experimental results show that the proposed method can achieve higher prediction accuracy than conventional gray prediction model. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. [ABSTRACT FROM AUTHOR]

China and Japan share numerous similarities other than their geographical proximity. Facing the great challenges of non-communicable diseases (NCDs), China and Japan have developed different preventive strategies and systems. While Japan has made great progress in primary prevention of NCDs through strong legislation, the 'Specific Health Check and Guidance System' and a unique licensed health professional system, China is attempting to catch up by changing its strategies in NCDs control. In this manuscript, we compared disease burden of NCDs, health care systems and preventive strategies against NCDs between China and Japan. In this light, we summarized the points that the two countries can learn from each other, and proposed recommendations for the two countries in NCDs control. [ABSTRACT FROM AUTHOR]

Objective Patients with type 1 diabetes (T1D) and impaired awareness of hypoglycemia (IAH) are at an elevated risk of experiencing automobile accidents. We therefore investigated the association of IAH with driving safety and hypoglycemia problem-solving abilities in adults with T1D. Methods This cross-sectional survey used Gold's method in adult patients with T1D at the National Hospital Organization (NHO) Hospital from February 14, 2020, to October 31, 2021. The participants were divided into control and IAH groups. The data included information on demographics, worries and distress regarding hypoglycemia, hypoglycemia problem-solving abilities, and adverse driving events. Patients We enrolled 233 participants (mean age: 48.5±12.8 years old, mean hemoglobin A1c level: 7.6%±0.9%) from NHO collaborating centers in Japan. Results Among a total of 233 participants (mean age: 48.5±12.8 years old, mean hemoglobin A1c level: 7.6%±0.9%), the prevalence rate of IAH was 11.6% [95% confidence interval (CI): 7.8-16.4%]. IAH was significantly associated with near-miss car accidents (odds ratio: 5.41; 95% CI:1.64-17.80). Diabetic peripheral neuropathy was associated with an increased risk of IAH, while treatment with continuous subcutaneous insulin infusion was not associated with a decreased risk of IAH. The average hypoglycemia problem-solving perception, detection control, and seeking preventive strategies scores in the IAH group were significantly reduced compared with those in the control group. Conclusion IAH was associated with an increased risk of near-miss car accidents among adults with T1D. Furthermore, good hypoglycemia problem-solving abilities were associated with a decreased risk of IAH.